What is recorded here?
Jointly parameterizes spectral operator weights through low-rank tensor factorizations and predicts local domains with hierarchical coarse-to-fine global context, reducing parameter and memory costs in reported PDE tasks.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
2023 preprint source, four authors. Inherits Tucker/CP/TT decompositions and domain decomposition; low-rank restrictions and empirical compression do not preserve all operators at fixed rank or establish global convergence. Multi-grid context is not a classical V-cycle; source's heuristic heat-kernel localization illustration is not imported as a mathematical certificate.
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People and systems
Jean Kossaifi; Nikola Kovachki; Kamyar Azizzadenesheli; Anima Anandkumar
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
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English catalogue narrative
Multi-grid tensorized Fourier neural operators
Jointly parameterizes spectral operator weights through low-rank tensor factorizations and predicts local domains with hierarchical coarse-to-fine global context, reducing parameter and memory costs in reported PDE tasks.
Scientific scope
2023 preprint source, four authors. Inherits Tucker/CP/TT decompositions and domain decomposition; low-rank restrictions and empirical compression do not preserve all operators at fixed rank or establish global convergence. Multi-grid context is not a classical V-cycle; source's heuristic heat-kernel localization illustration is not imported as a mathematical certificate.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Jean Kossaifi; Nikola Kovachki; Kamyar Azizzadenesheli; Anima Anandkumar
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.